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Nvidia Senior Solution Architect - Embedded 
China, Beijing, Beijing 
680516620

31.07.2024
What you’ll be doing:
  • Assist field business development in guiding the customer through the sales process for NVIDIA embedded solution.

  • Working with Embedded customers, understanding requirements, and leading the directions from simulation and training to deployment.

  • Develop innovative HW, GPU and system architectures to extend the state of the art in machine Learning performance and efficiency.

  • Train customers & partners on NVIDIA Embedded platform including Jetson, Jetpack, Jetson AI-lab and Isaac Platforms. Handle in-depth hands-on engagement with customers on complicated edge projects based on Jetson.

  • Review customers’ solution and design, support customer design boards bring-up, diagnose problems with customer designs and seek to resolve technical issues.

  • Take an active role in assessing the technical details of customer projects. Build close technical relationship with customers & partners.

  • Collaborate across the company, work with NVIDIA worldwide embedded, software, research, and product teams to lead technical activities and customer support. Guide the direction of Jetson product implementations.

What we need to see:
  • BS, MS, or PhD. or equivalent. Experience with compute vision, GPUs, Linux, CUDA, DL, ML

  • Strong academic background in Computer or Electrical Engineering, Computer Science, or related degree

  • 5+ years of work-related experience in edge computing, software development or testing, CUDA or compute vision experience would be useful.

  • Strong expertise in python and Linux.

  • Familiar with ARM based SOC and had project experiences with embedded platform.

  • Familiar with LLM optimization and deployments.

  • Excellent communication and planning skills, while being self-motivated with a focus on execution and quality

Ways to stand out from the crowd:
  • Strong background and project experience in robotics simulation, LLM training and Inference.

  • With in depth knowledge and experience in one or more industry areas like: Auto, Manufacture, Retail, Healthcare.

  • Willing to share.

  • Knowledge in embedded platform and software development.